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Documents related to » perspectives on data warehousing olap


Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

perspectives on data warehousing olap  Data Warehouse Automation , Perspectives on Data Warehousing , Data Warehousing OLAP , Resource Data Warehouse , Land and Resource Data Warehouse , Data Warehouse Web Site , Data Mining , Data Mart , Data Warehouse Architecture , Data Warehouse Concepts , Data Warehouse Tutorial , Data Warehouse Definition , OLAP , Business Intelligence , Huge Data Warehouse , Data Warehouse Appliance . NOTE: The following is intended to outline our general product direction. It is intended for information purposes only, Read More...
Contemporary Business Intelligence and Its Main Components
Business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process by allowing a company to manipulate corporate

perspectives on data warehousing olap  and innovation and learning perspectives that formally connect overall objectives, strategies, and measurements (since each dimension may have goals and measurements). To make a clear difference between dashboards and scorecards (the terms are often confused or used interchangeably), a dashboard is a digital cockpit that produces a snapshot of a moment in time, which can be drilled through. Scorecarding is the process of comparing actual results to target results, and of discerning trends over a period Read More...
Business Intelligence Status Report
Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged

perspectives on data warehousing olap  business information from multiple perspectives. Users are able to perform multi-dimensional analysis, slice-and-dice data sets, and drill-down to additional detail, all using integrated OLAP technology, whose analytical functionality should ideally be available whether users are connected to the Internet, through a mobile, or are working off-line. Data warehousing also led to the development of the concept of metadata management, whereby metadata is data about data, such as table and column names, and Read More...
Reporting Tools
Analysis and reporting services are an important part of the enterprise resource planning process. Microsoft Dynamics NAV has been designed to give users

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Business Performance Management Basics: An Overview of Business Performance Management and Its Benefits to the Organization
Business performance management (BPM) includes setting key performance indicators, using data mining to discover data patterns and using software to help drive

perspectives on data warehousing olap  creating a hierarchy of perspectives organized in descending order, according to measurability, urgency, and visibility. Also, cause and effect diagrams show relationships between different entities and performance in order to enable management to identify factors that may be causing low sales or other performance challenges. These are some of the tools offered by BPM software to help users analyze the appropriate data within the organization. Benefits of Using a BPM Solution BPM is the type of solution Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

perspectives on data warehousing olap  Data Integration: A Primer Originally published - August 22, 2006 Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization''s customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Unfortunately, this is not always the case. Read More...
Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at

perspectives on data warehousing olap  Quality Basics Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

perspectives on data warehousing olap  of data from different perspectives: management, quality, usage, compliance, and, of course, security. A data governance strategy is the framework for establishing the necessary systems to administer, regulate, and secure the use of data within an organization. As the Data Governance Institute states, Data Governance is a system of decision rights and accountabilities for information-related processes. A data governance strategy goes beyond the use of an enterprise application such as a data warehouse or Read More...
BI: On Demand, On Premise, Open Source, or Outsourced?
On-premise or on-demand, business intelligence (BI) solutions can help businesses become more intelligent about key processes. But what are the benefits to

perspectives on data warehousing olap  On Demand, On Premise, Open Source, or Outsourced? On-premise or on-demand, business intelligence (BI) solutions can help businesses become more intelligent about key processes. But what are the benefits to implementing cloud-based BI over traditional software? Are on-demand BI applications as popular in the enterprise as they are with midmarket companies? And what are some reasons people don’t outsource BI? Find out the answers to these questions and more. Download this guide now. Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

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Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

perspectives on data warehousing olap  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data''s Data Quality Suite operates like a data quality firewall '' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More...
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

perspectives on data warehousing olap  big data,innovation,data management,data platforms,data ecosystems Read More...
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

perspectives on data warehousing olap  spend analytics,performance management software,spend analyses,supplier risk assessments,data enrichment and classification Read More...
The Scribe Solution for Salesforce and Microsoft Dynamics GP: Bridging the Gap Between On-demand CRM and On-premise ERP
For years, organizations have had to settle for inadequate approaches to front-office to back-office integration. However, with Scribe’s component architecture,

perspectives on data warehousing olap   Read More...
On Demand or On Premise: Understanding the Deployment Options for Your New Business Management System
When implementing a new business management system, you need to consider many factors. With advances in Web technologies and growth in broadband across the

perspectives on data warehousing olap  Demand or On Premise: Understanding the Deployment Options for Your New Business Management System When implementing a new business management system, you need to consider many factors. With advances in Web technologies and growth in broadband across the Internet, alternative deployment methods have emerged. Nowadays, you often must include the question of whether to implement the solution on premise or on demand. Find out more about these options and how your choice can impact the overall success of Read More...

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